The effect of reproduction on food intake of a sit-and-wait foraging lizard, Sceloporus virgatus
Bibliographic record
Abstract
I tested the effect of reproduction on food intake of the striped plateau lizard, Sceloporus virgatus, a sit-and-wait foraging lizard with a high relative clutch mass (RCM). I maintained male-female pairs in outdoor enclosures throughout the production of females' single annual clutches, observed feeding behavior during methodical feeding trials performed thrice weekly, and related both male and female feeding behavior to the reproductive state of the female. Female food intake was significantly reduced during gravidity, relative to that during vitellogenesis and following oviposition. This reduction was due to decreases in both the frequency and the size of meals. A limitation of abdominal space due to maximization of current reproductive output (i.e., filling the abdomen with eggs) may largely regulate this relationship in species with high RCM; other mechanisms may regulate the same relationship in species with relatively low RCM. Male food intake was significantly less than that of females when females were vitellogenic and receptive to male courtship. During female gravidity, male intake was significantly greater than that of females. No sex differences in food intake were observed after females oviposited. These differences in male and female feeding behavior can be significant components of the differences in reproductive investment between the sexes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".